Integrating Mixed Methods and Big Data Analytics in Digital Farming to Improve Corn Agribusiness Performance in Bima Regency, Indonesia
DOI:
https://doi.org/10.59890/ijsr.v4i3.428Keywords:
Digital farming, Big Data Analytics, Mixed Methods, Corn Agribusiness, Digital literacyAbstract
This study aims to examine the integration of mixed methods and big data analytics in digital farming for corn agribusiness in Bima Regency as a methodological contribution to strengthening data-driven agribusiness systems. A sequential explanatory mixed methods design was employed, involving 140 farmers as respondents during the period from December 2025 to April 2026. Data were collected through structured surveys, in-depth interviews, and focus group discussions. The variables analyzed included technology adoption, digital literacy, market access, and agribusiness performance. The findings indicate that digital farming has a significant positive effect on agribusiness performance, with digital literacy emerging as the most influential factor. However, limited access to digital markets remains a major constraint. The study highlights the importance of strengthening digital literacy and developing integrated data-based marketing systems to enhance farmers’ welfare.
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